senior machine learning engineer

Tech786

Company DescriptionCodeFlamme is committed to turning innovative ideas into reality through cutting-edge digital transformation solutions. The company emphasizes creativity, technology, and business growth, delivering exceptional tech excellence for its clients. At CodeFlamme, we empower businesses by providing reliable and impactful digital solutions. Join us to make a difference in the world of #DigitalTransformation and #Innovation.Role DescriptionThis is a full-time, on-site role for a Senior Machine Learning Engineer based in Lahore. In this position, you will design and implement advanced machine learning models and algorithms, analyze complex datasets, and develop innovative solutions for diverse projects. Collaborating with cross-functional teams, you will employ state-of-the-art techniques such as diffusion models, neural networks, and pattern recognition to solve real-world problems while optimizing performance, scalability, and efficiency.Qualifications<ul><li>Strong expertise in Machine Learning fundamentals, including Pattern Recognition and Neural Networks</li><li>Proficiency in Computer Science concepts, including Algorithms and Data Structures</li><li>Solid understanding of Statistics and Mathematical foundations critical for data modeling</li><li>Excellent analytical and problem-solving skills</li><li>Experience working in a collaborative environment with cross-functional teams</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field</li><li>Previous experience with large-scale machine learning projects is a plus</li></ul>Core Technical Skills<ul><li>Diffusion Models (Stable Diffusion, SDXL, DALL&middot;E architecture)</li><li>Null-text inversion techniques</li><li>Latent-space manipulation &amp; editing</li><li>Attention mechanisms &amp; cross-attention control</li><li>PyTorch (required), TensorFlow (nice-to-have)</li><li>SSIM/LPIPS metrics &amp; quality optimization</li><li>GPU optimization (A100/H100 inference tuning)</li></ul>Experience Requirements<ul><li>3+ years of professional experience in Machine Learning and Computer Vision</li><li>Proven experience in shipping production diffusion model features</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Senior Machine Learning Engineer

Freeform

<div><h2 class="jobSectionHeader">SENIOR MACHINE LEARNING ENGINEER
</h2>Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.

As a Senior Machine Learning Engineer at Freeform, you'll need extensive experience in advanced pattern recognition, predictive modeling techniques, and deep learning algorithms, and should have experience with machine learning as it relates to physics or the physical world. You will play a key role in designing, developing, and integrating critical data science infrastructure and developing custom machine learning algorithms from scratch. Ultimately your solutions with enable us to scale the first production-scale, high-quality, and fully-automated metal 3D printing factory architecture. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:
<ul>
<li>Design and develop data models used for model predictive control in an advanced production-scale metal 3D printing system</li>
<li>Integrate data models and physics-based models into a unified simulation framework</li>
<li>Develop a deep learning framework for modeling the complex physics associated with laser melting printing technology</li>
<li>Develop unsupervised learning algorithms to correlate data with printed part quality</li>
<li>Develop methods to correlate process data with geometric features</li>
<li>Work closely with simulations engineers to create data models to be used to predict the thermo-mechanical response of printed parts</li>
<li>Develop learning modules for machine health monitoring</li>
<li>Work with software engineers to deploy data science algorithms in production software</li>
<li>Guide software engineers to develop the big data infrastructure required to collect and process large amounts of production printing data</li>
<li>Develop data models used for the end-to-end automation of an advanced metal 3D printing platform</li>
</ul>
Basic Qualifications:
<ul>
<li>Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline</li>
<li>5+ years of experience in advanced machine learning</li>
<li>Proficient with Python, C/C++ or similar object oriented language</li>
<li>Proficient in advanced pattern recognition, predictive modeling and deep learning techniques</li>
<li>Experience with machine learning or data science as it relates to physics or the physical world</li>
</ul>
Nice to Have:
<ul>
<li>Master's or PhD in computer science, applied mathematics, machine learning, data science highly preferred</li>
<li>Experience with computational geometry</li>
<li>Proficient in data mining and statistical analysis</li>
<li>Experience with both supervised and unsupervised learning techniques</li>
<li>Experience with image processing</li>
<li>Proficient with NoSQL databases, such as MongoDB or Cassandra</li>
<li>Experience using query languages such as SQL or Hive</li>
<li>Knowledge of MATLAB</li>
<li>Creative thinker able to apply first-principles reasoning to solve complex problems</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>We are located in Hawthorne, CA in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&amp;D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles' vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.</li>
</ul>
What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Amgen

<div><h1 class="jobSectionHeader">ABOUT AMGEN</h1>
Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, making people&rsquo;s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.<h1 class="jobSectionHeader">
ABOUT THE ROLE</h1>
Let&rsquo;s do this. Let&rsquo;s change the world. 
We are seeking a Senior Machine Learning Engineer to join our Manufacturing Applications Product team at Amgen India (AIN). In this vital role, you will lead the design, development, and deployment of advanced machine learning and generative AI solutions for manufacturing and operations use cases. You will collaborate with platform architects, software engineers, and business users to deliver scalable, production-grade ML models and platforms that drive innovation and business impact.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Lead end-to-end development of machine learning models, including data exploration, feature engineering, model selection, training, validation, and deployment.</li><li>
Architect and implement scalable ML pipelines for batch and real-time inference using cloud-native tools (AWS).</li><li>
Develop and optimize deep learning models (NLP, computer vision, tabular data) using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li><li>
Design, fine-tune and deploy Large Language Models (LLMs) such as GPT-5, for manufacturing applications (RAG copilots, chatbots, summarization, classification, agents).</li><li>
Build retrieval-augmented generation (RAG) pipelines with vector databases (e.g., Pinecone, pgvector/Postgres) and, where appropriate, knowledge graph integrations.</li><li>
Establish LLMOps best practices: prompt libraries and versioning, offline/online evaluation harnesses, A/B testing, safety/guardrails, cost/latency optimization, and model monitoring.</li><li>
Collaborate with cross-functional teams to translate business requirements into technical solutions and deliver measurable outcomes.</li><li>
Integrate ML/LLM services with enterprise platforms, APIs, and data lakes for seamless production deployment.</li><li>
Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.</li><li>
Ensure compliance with data privacy, security, and regulatory requirements (including Responsible AI practices) throughout the ML lifecycle.</li><li>
Document solutions, share knowledge, and contribute to Amgen&rsquo;s AI/ML community of practice.</li></ul><h1 class="jobSectionHeader">
Must-Have Qualifications</h1><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field.</li><li>
8+ years of hands-on experience developing and deploying machine learning models in production environments.</li><li>
Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, XGBoost).</li><li>
Experience with cloud platforms (AWS) and containerization (Docker, Kubernetes).</li><li>
Proven experience building LLM-powered applications in production, including prompt engineering, fine-tuning, retrieval integration (RAG), and API/SDK-based deployment.</li><li>
Experience with MLOps tooling (e.g., MLflow, SageMaker, Vertex AI, Databricks) and model monitoring/observability.</li><li>
Strong understanding of data engineering, feature engineering, and model evaluation techniques; ability to define offline/online evaluation metrics for both ML and LLM use cases.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li></ul><h1 class="jobSectionHeader">
Good-to-Have Skills</h1><ul><li>
Experience with graph-based retrieval augmented generation (GraphRAG), knowledge graphs, or graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph) for enhancing LLM applications.</li><li>
Experience applying machine learning or AI solutions in manufacturing, industrial, or operational environments.</li><li>
Experience with vector databases (Databricks, Pinecone,pgvector) and orchestration frameworks (LangChain, LlamaIndex).</li><li>
Experience with LLM serving and optimization and cost/latency tuning in production.</li><li>
Familiarity with tool/function calling, multi-agent orchestration, and workflow frameworks.</li><li>
Exposure to regulated domains (biotech, pharma, healthcare), GxP/CSV, and Responsible AI/safety methodologies.</li><li>
Contributions to open-source ML/LLM projects, papers, or presentations in ML/AI forums.</li></ul><h1 class="jobSectionHeader">
Soft Skills</h1><ul><li>
Analytical and troubleshooting mindset.</li><li>
Ability to work effectively in global, virtual teams.</li><li>
Initiative, self-motivation, and adaptability.</li><li>
Team-oriented, with a focus on achieving shared goals.</li><li>
Ability to manage multiple priorities and deliver in a fast-paced environment.</li></ul></div>

Hudhud Maps

<div>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.
Key Responsibilities:
<ul><li>Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li>
Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li>
Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li>
Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li>
Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li>
Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul>
Qualifications:
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

AV International

Machine Learning Engineer / Data Scientist (4&ndash;8 years experience) Location: Mumbai - Andheri EastWe are looking for an experienced Machine Learning Engineer or Data Scientist with 4&ndash;8 years of hands-on experience in building and deploying AI models.What You&rsquo;ll Do<ul><li>Work on end-to-end ML projects &mdash; from collecting and preparing data to building, deploying, and maintaining models.</li><li>Build and maintain APIs to serve ML models in production.</li><li>Improve model accuracy and performance through regular tuning and optimization.</li><li>Support and troubleshoot production ML systems when needed.</li><li>Research and use the latest AI technologies to enhance existing products or create new ones.</li><li>Contribute to documentation and process improvements.</li></ul>Must Have Skills<ul><li>Strong experience in Machine Learning or Deep Learning.</li><li>Expertise in Computer Vision or Natural Language Processing (NLP).</li><li>Hands-on experience with Generative AI, fine-tuning models, or using RAG (Retrieval-Augmented Generation).</li><li>Good programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, JAX, Hugging Face, or SpaCy.</li><li>Experience deploying models on AWS SageMaker, GCP Vertex AI, or Azure ML.</li><li>Ability to write and manage APIs.</li><li>Strong interest in learning new AI technologies.</li></ul>Good to Have<ul><li>Knowledge of Go or Elixir, or interest in functional programming.</li><li>Experience with MLOps tools like Docker and Kubernetes.</li><li>Familiarity with Agile product development.</li><li>Understanding of Microservices, API design, and Data Modeling.</li><li>Exposure to Frontend frameworks like React.</li><li>Experience with Cloud platforms (AWS / GCP).</li></ul>Job Types: Full-time, PermanentPay: &#8377;2,000,000.00 - &#8377;3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>

Draft N Craft Law Firm

AI Strategy &amp; LeadershipRole Overview:As a Senior AI/ML Engineer at Draft n Craft, you will lead the development and deployment of cutting-edge machine learning solutions tailored for the legal services industry. You will play a pivotal role in transforming legal workflows through intelligent automation, NLP, and GenAI technologies. This is a unique opportunity to shape the future of legal tech while working in a cross-functional environment that values innovation, precision, and impact.Key Responsibilities:<ul><li>Lead the design and implementation of scalable ML/AI solutions aligned with business goals.</li><li>Mentor and manage a team of ML engineers and data scientists to deliver high-impact projects.</li><li>Collaborate with legal experts and software engineers to identify AI opportunities and define technical roadmaps.</li></ul>Model Development &amp; Deployment<ul><li>Build and optimize end-to-end ML pipelines including data ingestion, pre-processing, training, evaluation, and deployment.</li><li>Develop production-ready models for NLP, document classification, summarization, and entity extraction.</li><li>Apply transfer learning and fine-tune LLMs (e.g., LLaMA, GPT, etc.) for legal domain-specific tasks.</li></ul>Data Engineering &amp; Feature Engineering<ul><li>Design robust ETL workflows to process structured and unstructured legal data.</li><li>Implement advanced feature extraction and selection techniques to improve model performance.</li><li>Ensure data quality, consistency, and compliance with legal standards.</li></ul>Performance Monitoring &amp; Optimization<ul><li>Define and track key performance metrics for deployed models.</li><li>Continuously improve model accuracy, latency, and scalability through experimentation and feedback loops.</li></ul>Integration &amp; Collaboration<ul><li>Integrate ML models into existing software platforms and internal workflows.</li><li>Work closely with DevOps and cloud teams to deploy solutions on AWS, Azure, or other cloud environments.</li><li>Document processes, decisions, and outcomes for transparency and reproducibility.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI, or related field.</li><li>6+ years of total experience</li><li>2+ years of experience in software development.</li><li>4+ years of experience in ML/AI engineering, preferably in NLP or legal tech.</li><li>Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.</li><li>Strong understanding of SQL/NoSQL databases and data pipeline tools.</li><li>Hands-on experience with GenAI, LLMs, and neural network architecture.</li><li>Experience deploying models to cloud platforms (AWS, Azure, GCP).</li></ul>Job Type: Full-timePay: &#8377;1,500,000.00 - &#8377;2,000,000.00 per yearApplication Question(s):<ul><li>1. What defines an end-to-end ML pipeline?</li><li>2. Main challenge with unstructured legal data?</li><li>3. When to use traditional ML over deep learning?</li><li>4. Key GenAI concern in legal industry?</li><li>5. Common cloud service for ML deployment?</li></ul>Experience:<ul><li>Machine learning Engineer: 4 years (Required)</li></ul>Work Location: In person

Apple

Geospatial data engineering defines real-world user experiences through Maps. As we make the Maps experience more intelligent and context-aware, it becomes central to delivering precision and confidence; helping users seamlessly search, find, and reach the exact place or address they intend to go. Whether it&rsquo;s powering navigation, enabling detailed address search, enhancing map display, or driving rich interactions with places, our work builds the intelligence behind these crucial experiences. This foundation supports hundreds of millions of Apple Maps users every day, crafting how they explore and connect with the world around them. 
 
Description 
As a Machine Learning Engineer on the Maps Data Engineering team, you&rsquo;ll design and deploy advanced models that fuse satellite imagery, aerial photos, behavioral signals, rich map metadata, and hundreds of internal data sources to power next-generation user experiences. You&rsquo;ll also pioneer the development of generative AI-driven multi-agent systems capable of dynamic reasoning, evaluation, and self-improvement-scaling the accuracy, precision, and quality of map data that millions of users rely on every day. 
 
This role offers the opportunity to solve some of the most complex real-world challenges at the intersection of geospatial intelligence, computer vision, large language models, and generative AI. 
 
At Apple, we create products that enrich people&rsquo;s lives; and we believe even the smallest moments, like arriving confidently at the right destination, are part of that promise. As a member of the Maps Data Engineering team, you&rsquo;ll help transform intricate geospatial systems into seamless, intuitive experiences; turning advanced technology into everyday magic for hundreds of millions of users worldwide.&quot;,&quot;responsibilities&quot;:&quot;As a Senior Machine Learning Engineer, you will be a technical leader responsible for the entire lifecycle of our data intelligence systems. 
 
ARCHITECT AND OWN PRODUCTION ML SYSTEMS: Lead the full lifecycle of ML solutions from research and prototyping through deployment, monitoring, and large-scale optimization. 
 
Ensure reliability, efficiency, and measurable impact of production ML systems. 
 
DRIVE DATA INTELLIGENCE WITH ADVANCED MODELS: Develop and fine tune sophisticated models, including LLMs/transformers and computer vision models, to extract insights, detect anomalies, and improve geospatial data quality. 
 
Design and operationalize generative AI driven multi-agent systems capable of reasoning, evaluating, and self-improving at scale. 
 
LEAD MULTI-FUNCTIONAL INNOVATION: Collaborate with data engineers, product managers, and operations teams to translate complex business needs into scalable technical solutions. 
 
Integrate ML systems seamlessly into the broader Maps ecosystem to enhance navigation, search, and place experiences. 
 
ELEVATE ENGINEERING PERFECTION: Champion standard processes in ML engineering and MLOps, including reproducibility, monitoring, and CI/CD for ML. 
 
Mentor and guide other engineers, fostering a culture of technical rigor, innovation, and continuous improvement. 
 
Preferred Qualifications 
A track record of publications in credible machine learning conferences (e.g., NeurIPS, ICML, ACL) or relevant journals 
 
Contributions to publicly available models or a strong performance record on Kaggle or other machine learning competitions. 
 
Past experience working directly with geospatial data, mapping technologies, or location-based services. 
 
A strong conceptual understanding of distributed data and compute systems, event streaming platforms (e.g., Kafka), and modern data storage formats. 
 
Advanced degree (MS/PhD or equivalent experience) in Computer Science, Machine Learning, AI, or related field or equivalent practical experience. 
 
Minimum Qualifications 
5+ years of experience in machine learning engineering or applied data science, with a consistent record of delivering production-grade ML systems. 
 
8+ years of software product engineering experience. 
 
Strong background in machine learning, computer vision, NLP, or generative AI, with hands-on expertise applying these techniques to large-scale data. 
 
Deep familiarity with LLMs, transformers, and the HuggingFace ecosystem; ability to fine-tune, optimize, and deploy models in production. 
 
Proven grounding in statistical modeling, design, and predictive analytics to drive decisions. 
 
Expert-level proficiency in Python and command of data science libraries (e.g., NumPy, Pandas, Polars, Scikit-learn) and ML frameworks (PyTorch, TensorFlow). 
 
Proficiency in data visualization for analysis, model diagnostics, and communicating sophisticated findings (e.g., Matplotlib, Seaborn, Plotly). 
 
Excellent communication, leadership, and mentoring skills, with the ability to guide junior engineers and collaborate effectively across diverse teams.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null

Senior Machine Learning Engineer - Maps Data

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