Machine Learning Module Lead Job at Sopra Steria (Bengaluru)

Pyspark Module Lead

We are seeking a highly skilled and motivated Data Engineer to join our dynamic ...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Proficiency in Advanced SQL (Window functions), Spark Architecture, Pyspark or Scala with Spark, Hadoop
Proven expertise in designing and deploying data pipelines
Strong problem-solving skills and ability to work effectively in a collaborative team environment
Excellent communication skills and ability to translate technical concepts to non-technical stakeholders

Job Responsibility

Work in tandem with Data Scientists to design, develop, and implement machine learning pipelines
Utilize PySpark for data processing, transformation, and preparation for model training
Leverage AWS EMR and S3 for scalable and efficient data storage and processing
Implement and manage ETL workflows using Streamsets for data ingestion and transformation
Design and construct pipelines to deliver high-quality training and inference datasets
Collaborate with cross-functional teams to ensure smooth deployment and real-time/near real-time inferencing capabilities
Optimize and fine-tune pipelines for performance, scalability, and reliability
Ensure IAM policies and permissions are appropriately configured for secure data access and management
Implement Spark architecture and optimize Spark jobs for scalable data processing

What we offer

All positions are open to people with disabilities
Commitment to fighting against all forms of discrimination
Inclusive and respectful work environment

Senior 3D AI/Vision Engineer

Contilio 3D AI is a fast-growing, AI-first SaaS scaleup based in London, UK. We'...

Location

United Kingdom , London

Salary:

Not provided

Contilio

Expiration Date

Until further notice

Requirements

Min 5 years' relevant experience in 3D computer vision, machine vision, computational geometry, or other related areas (2D vision experience is not sufficient on its own)
Strong track record in executing AI/ML projects end-to-end (from design and prototyping to scaled deployments)
High proficiency in Python delivering scalable, high-quality production codes
Deep familiarity with 3D AI and 3D computer vision and related frameworks/libraries
Hands-on experience with 3D data processing (point clouds/Lidar data)
MSc/ PhD in Computer Vision, Machine Learning, Computer Science or related fields from leading universities in the UK, EU or US.

Job Responsibility

Advance our 3D AI pipeline modules using the latest of 3D Data Processing, 3D Vision and ML techniques
Design, develop and deploy (3D Data and AI) algorithms, structures and labelling processes that scale efficiently with our growing data volume and customers
Identify data, vision/ML, and/or operational bottlenecks and lead efforts to improve them in an agile, iterative manner
Manage end-to-end AI/Vision projects, including oversight of associated data operations
Attend relevant conferences and conduct structured research, turning state-of-the-art research into cutting-edge prototypes and scalable algorithms
Manage and coach junior engineers and data team members as you grow within the role.

What we offer

Highly competitive package including equity ownership
Unique opportunity to take on more responsibility as we rapidly expand our tech and AI team

Fulltime

2026 Summer Intern – AI/ML Intern – Structured Perception (PhD)

The Structured Perception team is dedicated to advancing the state-of-the-art in...

Location

United States , Mountain View; San Francisco; Sunnyvale

Salary:

13100.00 USD / Month

General Motors

Expiration Date

Until further notice

Requirements

Currently pursuing or in the process of obtaining a Master’s or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field
Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning)
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Research experience in AI/ML, demonstrated through coursework, academic projects, or publications
Strong problem-solving skills and a collaborative mindset
Strong communication and presentation skills
Experience working and communicating cross functionally in a team environment
Able to work fulltime, 40 hours per week

Job Responsibility

Lead research and prototyping of advanced machine learning methods, such as ML track and map modules, foundation models, and vision-language architectures for real-world applications
Prototype ML models that improve perception, prediction, or decision-making for autonomous driving
Collaborate with cross-functional teams, including research, robotics, and systems engineering
Participate in technical discussions, share insights, and work towards publishing results

What we offer

Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program

Fulltime

Principal/Senior Applied Scientist Security Models Training Team - Next-Gen frontier research

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 5 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions
Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets, with attention to privacy, governance, and long‑term reuse across security scenarios

Fulltime

Cyber Security Research Placement

Ready to protect a global aerospace leader from the world's most sophisticated c...

Location

United Kingdom , Newport

Salary:

23400.00 GBP / Year

Airbus

Expiration Date

Until further notice

Requirements

Studying towards a degree in Cyber Security, Computer Science, Computing, or equivalent
Passed modules in any of the following or similar: Artificial Intelligence, Machine Learning, Cryptography, Data Science, Secure Software Development, Risk Management, Cybersecurity Law, Security Architecture, Cybersecurity of Operational Technology (OT) / SCADA, Cloud Security, Network Security, Offensive & Defensive Security, and/or Security Monitoring
Technical report writing
Research (e.g. Searching for and distilling information, note taking, problem solving, critical thinking, communicating results, time management)
Operating Systems (e.g. Linux, Windows, Android)
Networking (e.g. Routing and Switching, VLANs, firewalls)
Protocols (e.g., TCP/IP, MODBUS, Profinet, CIP, S7, Zigbee, CANBUS, Bluetooth)
Common Cyber Security Tools (e.g. Wireshark, Nmap, Nessus, Splunk, Metasploit, Burp Suite etc.)
Data Science / Analytics
AI, machine learning, LLMs, Neural networks, and unsupervised machine learning such as clustering and anomaly detection

Job Responsibility

Contribute to ongoing and new research projects
Learn about the complex and upcoming needs of a large organisation
Work with a range of teams within the business to develop new innovations
Collaborate with universities and academics across the world
Get involved in scouting the market for new cybersecurity technologies and assessing their capabilities
Write internal technical reports and contribute to papers published at leading cybersecurity conferences
And potentially travel to other Airbus sites, events and academic conferences across Europe
Conduct research into new tools and technologies
Build and test innovative prototypes
Produce technical reports to communicate findings

What we offer

35 hours per week
Flexible working hours
Half day Fridays
25 days holiday plus bank holidays

Fulltime

Lead Applied Scientist Security Models Training Team

The Security Models Training team is expanding to drive the development of a new...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

M.Sc. / Ph.D. in Computer Science, Information Systems, Electrical or Computer Engineering or Data Science (Ph.D. strongly preferred)
Candidates with M.Sc. / Ph.D. in related fields with proven industry experience or a strong publication record in the areas of LLM, Information Retrieval, Machine Learning, Natural Language Processing, Time Series Forecasting and Deep Learning are considered as well
Proven hands-on experience of at least 8 years (including post-grad work) in building and deploying Machine Learning products
Key areas of expertise include Natural Language Processing and Large Language Models, along with an understanding of concepts such as Privacy and Responsible AI
Candidates are expected to demonstrate a strong history of successfully translating applied research into production-ready solutions, along with a proven track record of delivering projects within large-scale production environments
Demonstrated ability to set long‑term technical strategy, align multiple teams, and serve as a technical decision‑maker for high‑risk, high‑impact investments
Proven expertise in the LLM and/or time-series forecasting domain, demonstrating comprehensive knowledge of relevant concepts in the domain
Ideal applicants should be proficient in areas such as LLM’s pre and post training, including CPT, SFT and RL, LLM benchmarking, agentic flows, and model alignment
Hands-on experience in building neural model architectures at the 100M+ scale and the proficiency to adapt them at all abstraction levels down the individual block (e.g. changing the innerworkings of an attention block, introducing new blocks, or changing the routings)
Demonstrated proficiency in problem-solving and data analysis, with substantial expertise in evaluating the performance of large language models (LLMs) and/or time-series forecasting models, developing benchmarks tailored to practical scenarios

Job Responsibility

Technical Leadership & Ownership: set technical direction for major security domain initiatives and align roadmaps across multiple teams
lead security model programs spanning pre‑training, task tuning, reinforcement learning, and evaluation
translate cutting‑edge research into production‑ready capabilities
This role influences portfolio‑level technical tradeoffs, investment prioritization, and long‑term architecture decisions for security models
Advanced Model Design – Building and customizing deep learning model architectures (e.g., modifying transformer blocks, attention/memory modules, etc.) at the SLM/LLM scale
making principled architectural tradeoffs to improve reliability, robustness, and security‑specific behavior
Advanced Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and other modalities, including time-series
Design & Evaluate Datasets – Build high-quality datasets and benchmarks
define objective evaluation frameworks and quality gates
run ablation studies to measure impact and optimize data and training effectiveness to support confident product decisions

Fulltime

Software Development Engineer

We’re ALTEN Technology USA, an engineering company helping clients bring groundb...

Location

United States , Boston

Salary:

80000.00 - 120000.00 USD / Year

ALTEN Technology USA

Expiration Date

Until further notice

Requirements

Advanced proficiency in C++ for performance-critical systems
Direct experience implementing MPC-based controllers and general control theory principles
Expertise in state machines, behavior trees, and high-level task planning
Proven experience with ML model integration, infrastructure design, and optimization techniques
Proficiency with industry-standard simulation tools and JIT optimization workflows
B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, or a related technical field
Strong background in General SDE practices with a focus on robotics, aerospace, or autonomous vehicles
A detail-oriented problem solver with a passion for optimizing complex, multi-threaded systems for reliability and speed

Job Responsibility

Control Systems Development: Design and implement Model Predictive Control (MPC) based controllers and advanced control algorithms using C++
Autonomous Logic: Architect and maintain system behaviors using state machines and behavior trees to ensure reliable and predictable performance
ML Infrastructure Integration: Lead the integration of Machine Learning models into core software infrastructure, optimizing for real-time performance and scalability
Task Planning: Develop and refine task-planning modules to manage high-level mission objectives and resource allocation
Simulation & Optimization: Utilize simulation tools to validate control logic and perform Just-In-Time (JIT) infrastructure optimizations to reduce latency and improve system efficiency
Cross-Functional Collaboration: Partner with mechanical and hardware teams to ensure seamless software integration with physical systems

Fulltime

Software Engineering Tech Lead

GM Israel (Herzliya) takes a significant part in introducing sophisticated softw...

Location

Israel , Herzliya

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

B.Sc. in Computer Science or Computer Engineering (or related BS in Computer field)
Over 6 years of hands-on experience in C++14/17 development of complex software systems
Over 2 years of experience in scrum leading or hands-on team leading
Experience in multi-threaded environments
Strong computer science fundamentals in design, algorithms and data structures
Experience in all phases of end-to-end development from requirements and design till product deployment
Strong understanding in continuous development, unit testing and build systems

Job Responsibility

Be responsible for full software development life cycle of C++ image processing applications
Contribute to the development of C++ image processing applications, solving complex design problems, optimizing software modules, ensuring clean, reusable, and scalable code solutions
Lead resolution of complex, cross-functional, problems which require software architecture understanding and cross-team cross-domain collaborations
Be part of exclusive team responsible for launching Computer Vision and Machine Learning features to production level applications in real vehicles
Collaborate closely with software teams, software architects, vehicle system engineering and application engineers across GM worldwide
Potentially leading tasks and people as an evolvement of this role
Develop and test your code on real vehicles

Fulltime

Machine Learning Module Lead

Sopra Steria

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
November 06, 2025

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Nice to have:

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Job Posted:November 06, 2025

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IT - Software Development

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