machine learning developer

Business Solutions & Services (BSS) - USA

<div>
 <strong>
  Role Overview:
  <br/>
  <br/>
 </strong>
 We are looking for a mid-level AI / Machine Learning Developer to design, develop, and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data, building predictive and intelligent models, and collaborating closely with product, data, and engineering teams to translate business problems into scalable AI solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <strong>
  AI / ML Development:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, train, and evaluate machine learning models for real-world business use cases
  </li>
  <li>
   Implement supervised and unsupervised learning techniques (classification, regression, clustering, anomaly detection, recommendation and more)
  </li>
  <li>
   Demonstrate strong understanding of statistical and machine learning models, and their practical application using Python libraries such as scikit-learn, stats models, NumPy, and pandas for real-world data analysis and predictive modeling
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Handling &amp; Preparation:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with structured and semi-structured data from databases, APIs, and files
  </li>
  <li>
   Perform data cleaning, preprocessing, feature extraction, and transformation
  </li>
  <li>
   Collaborate with data engineers on data pipelines when required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Model Deployment &amp; Integration:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deploy ML models into production environments (APIs, services, batch jobs)
  </li>
  <li>
   Integrate ML models with web applications, backend systems, or enterprise platforms
  </li>
  <li>
   Support model monitoring, retraining, and performance tuning
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Agentic AI systems (Nice to Have)
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Familiarity with agentic AI frameworks such as LangChain Agents, AutoGen, and CrewAI for orchestrating tool usage, decision-making, and multi-step workflow automation
  </li>
  <li>
   Understanding of prompt management, execution controls, logging, and human-in-the-loop validation, including concepts related to agent safety, control, and observability
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Delivery:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with product managers, business analysts, and domain experts
  </li>
  <li>
   Participate in solution design discussions and technical reviews
  </li>
  <li>
   Document models, assumptions, and technical decisions clearly
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong programming skills in Python
  </li>
  <li>
   Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
  </li>
  <li>
   Experience with Pandas and NumPy
  </li>
  <li>
   Understanding of core ML concepts and evaluation metrics
  </li>
  <li>
   Experience exposing ML models via REST APIs (FastAPI / Flask)
  </li>
  <li>
   Nice to Have:
  </li>
  <li>
   Exposure to NLP, computer vision, or time-series modeling
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, GCP)
  </li>
  <li>
   Basic understanding of MLOps practices
  </li>
  <li>
   Experience working in enterprise or consulting environments
  </li>
  <li>
   Experience: 3-5 years Hands-On Industry Experience
  </li>
  <li>
   Education: BS Computer Science or Equivalent
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Good communication and documentation abilities
  </li>
  <li>
   Ability to work across multiple projects
   <br/>
  </li>
 </ul>
</div>


AI / ML Engineer

Creativelogicx

<ul><li>Design machine learning systems</li><li>Research and implement machine learning algorithms and tools</li><li>Manage and direct research and development processes to meet the needs of our AI strategy</li><li>Develop machine learning applications in alignment with project requirements and business goals</li><li>Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems</li><li>Select appropriate datasets and data representation methods</li><li>2+ years of experience applying AI to practical uses</li><li>Experience with deep learning, NLP, and TensorFlow</li><li>Experience writing robust code in Python, Java, and/or R</li><li>Experience in REST API development, NoSQL database design, and RDBMS design and optimizations</li><li>Knowledge of basic algorithms and object-oriented and functional design principles</li><li>Knowledge of data structures, data modeling, and software architecture</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI/ML Engineer

Unifonic

<div><p>Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that revolutionizes the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.</p><p></p><p><br>
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!</p><p><b><br>
Meet the team!</b></p><p>
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.</p><p><br>
As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including Personalization, Recommender engines, and LLMs, which integrate with data pipelines and other data sources. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.</p><p></p><p><b>
Help us shape the future of communication by:</b></p><ul><li><p>
Providing guidance to junior and med-level team members, sharing knowledge, and offering advice on machine learning and software engineering practices and approaches.</p></li><li><p>
Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.</p></li><li><p>
Developing and optimizing reliable and scalable personalization and recommendation<b> </b>machine learning models and creating/exposing service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.</p></li><li><p>
Collecting, analyzing, and creating the required scalable and reliable<b> </b>data pipelines from extensive datasets in real-time, near-real-time, or batch processing modes.
</p></li><li><p>Implementing proof of concepts and prototypes to demonstrate the potential for new AI use cases and innovations.</p></li><li><p>
Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.</p></li><li><p>
Assisting in the project documentation and demos.</p></li><li><p>
Keeping current with the latest machine learning research papers and AI trends, such as Generative AI.</p></li></ul><p></p><p><b><br>
What you'll bring:</b></p><ul><li><p><br>
Hands-on 3-5 years<b> </b>of relevant work experience as a Machine Learning Engineer, hands-on Python, personalization and recommendation engines are highly recommended.</p></li></ul><ul><li><p>
Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or a related field (or equivalent experience).</p></li><li><p>
End-to-end experience in training, evaluating, testing, and deploying scalable machine learning products in production.</p></li><li><p>
Write world-class code in Python (SOLID principles), considering the best software engineering practices, i.e. data structures, algorithms, and data modeling</p></li><li><p>
Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.</p></li></ul><ul><li><p>
Recommendation Systems<b>: </b>Deep understanding of various recommendation algorithms (Collaborative Filtering - user-based, item-based; Content-Based Filtering; Hybrid approaches). Knowledge of matrix factorization techniques (SVD, ALS), graph-based methods, and deep learning/LLMs for recommendations.</p></li><li><p>
Supervised Learning: Regression (Linear, Logistic), Classification (SVM, Decision Trees, Random Forests, Gradient Boosting Machines like XGBoost/LightGBM).</p></li><li><p>
Unsupervised Learning: Clustering (K-Means, DBSCAN, Hierarchical Clustering), Dimensionality Reduction (PCA, t-SNE).</p></li><li><p>
Deep Learning:<b> </b>Strong grasp of Neural Networks (CNNs, RNNs, LSTMs, Transformers).</p></li><li><p>
Familiarity with MLOps<b> </b>best practices, e.g. Model deployment and reproducible research, Basic knowledge of Kubernetes, Docker, and CI/CD concepts.</p></li><li><p>
Data science best practices:<b> </b>Needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.</p></li><li><p>
Excellent understanding of Machine learning models like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.</p></li><li><p>
Experience with the Hugging Face libraries (i.e. transformers).</p></li><li><p>
Experience fine-tuning<b> </b>pre-trained models and using vector search<b> </b>to enhance LLMs results.</p></li><li><p>
Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.</p></li><li><p>
Familiar with Agile methodologies, i.e. scrum and kanban.</p></li><li><p>
Ability to develop high-level architecture and low-level design, End-to-end for a specific project.</p></li><li><p>
Experience in event sourcing patterns and tools, i.e. Kafka, RabbitMQ, or similar.</p></li><li><p>
Experience with LLM frameworks<b> </b>(i.e. LangChain) and prompt engineering techniques.</p></li><li><p>
General knowledge of Data warehouse tools<b> </b>e.g. Vertica is a plus.</p></li></ul><p></p><p><b>
As a Unifone you will receive a range of benefits:</b></p><ul><li><p>
Competitive salary and bonus.</p></li><li><p>
Unifonic share scheme (we are all owners!).</p></li><li><p>
30 holiday days after the first anniversary.</p></li><li><p>
Your Birthday off!</p></li><li><p>
Spend up to 25 days per year working from anywhere in the world!</p></li><li><p>
Paid leave for new parents.</p></li><li><p>
LinkedIn learning license.</p></li></ul></div><p></p>

Senior Machine Learning Engineer (Personalization)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Translation Services seeks a passionate Machine Learning Engineer (MLE) to drive innovations in image translation technology to reach every Amazon customer in their own language.Are you excited about pushing the boundaries of computer vision and language translation at massive scale? Do you thrive in environments where you can lead innovation in Visual Language Models? If so, we're seeking a Machine Learning Engineer to join the Translation Services (TS) India Science team.TS provides technology solutions and services that deliver quality translations at the lowest possible cost for Amazon businesses. As our MLE, you'll be at the forefront of developing and deploying state-of-the-art image translation systems that detect, extract, and translate text within images, making visual content accessible across languages for millions of Amazon customers worldwide.<br>
<br>
Key job responsibilities<br>
Build top notch ML infrastructure:
<br>
Develop and maintain critical infrastructure needed for developing, training, evaluating, and deploying Visual Language Models (VLM) and LLMs for real-world image translation applications at Amazon scale.<br>
Drive innovation in VLM space:
<br>
Quickly learn and apply new technologies and algorithms in Generative AI, Computer Vision, and NLP to build best-in-class visual language translation models.<br>
Scale ML systems: Work closely with Applied Scientists to process massive image datasets, scale machine learning models, and optimize training pipelines for large-scale model training and inference.<br>
Lead technical design: Investigate design approaches, prototype new technology, and evaluate technical feasibility of innovative solutions in the image translation domain.<br>
Optimize for production: Develop training algorithms and modeling techniques that push the boundaries of large model training while ensuring high performance, reliability, and cost efficiency.<br>
End-to-end ownership: Take full ownership of ML systems from design and development through deployment and monitoring in production environments.<br>
<br>
About the team<br>
We have multiple talented engineering teams based in Seattle, WA and Hyderabad, India with great office spaces where we collaborate. Our India Science team is pioneering the future of image translation technology.<br>
Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.<br>
Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.<br>
Our Impact: In a recent year, 7,800+ users from 180+ Amazon teams used our systems to translate 274 billion words. You'll be expanding this impact into the visual domain.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, JAX)Experience building and deploying ML models in production environments</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with deep learning, particularly in computer vision (OCR, object detection, image segmentation) or NLP/machine translationExperience with large-scale distributed training and model optimization techniques</li><li>Experience with Visual Language Models (VLM), multimodal learning, or document understanding</li><li>Strong understanding of ML infrastructure, including data pipelines, model serving, and monitoring systems</li><li>Publications or contributions to open-source ML projects</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

SDE II (Machine Learning), Translation Services

<div><p>DNV is the world&rsquo;s largest ship classification society with a global presence. DNV is a self-owned foundation, with the purpose of safeguarding life, property, and the environment. DNV has high ambitions for improving business processes and services by using AI. DNV is now establishing an AI team in Pune to strengthen DNV&rsquo;s ability to meet ambitious business goals.
<br>
You will be part of a leading AI competency and development team located at the two locations Pune and Oslo (DNV headquarters). The AI team focuses on use of AI and machine learning to improve DNV&rsquo;s maritime global work processes. We create AI systems that enable and support digitalization of DNV&rsquo;s global production processes and systems as well as creation of new digital services. The AI team consists of experienced data scientists and software developers. You will collaborate in teams with different functional competencies and domain experts. Our deliveries have a global impact through our multi-national organization, and through cooperation with large companies.
</p><p><b>Daily tasks / duties:
</b><br>
You will solve real-world business cases and be a key contributor to programming and releasing AI and Machine Learning solutions. You will engage in all project phases, from dialogue with stakeholders to understand the problem to be solved, through data analysis, planning technical architecture and team collaboration on experimenting, programming and releasing solutions through our DevOps cycles to production. You are also expected to actively explore new opportunities for applied AI, to stay up-to-dated with main trends in the AI industry, and to identify how AI may create new business opportunities for DNV.</p></div>
<br><div><div>What We Offer</div>
<div><ul><li>Flexible work arrangements for better work-life balance
</li><li>Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave)
</li><li>Medical benefits ( Insurance and Annual Health Check-up)
</li><li>Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance)
</li><li>Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme)
</li><li>Additional Benefits (Long Service Awards, Mobile Phone Reimbursement)
</li><li>Company bonus/Profit share.
</li><li>You will be part of a strong, international data science team continuously delivering value-adding AI solutions that are integrated into business applications and work processes.
</li><li>You will collaborate with experienced data scientist experts across the two locations Pune and Oslo
</li><li>You will collaborate in cross-functional teams with skilled developers, data engineers and domain experts
</li><li>You enjoy teamwork and you take a holistic view of projects and tasks.
</li><li>You are self-driven and take ownership of the solutions success and value-creation You enjoy seeing your real-world AI solutions come to life, being integrated into tools applications and work processes.
</li></ul><div>*Benefits may vary based on position, tenure/contract/grade level*
</div><div></div><div>DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.</div></div></div>
<br><div><div>About you</div>
<div><div><ul><li>2&ndash;10 years of experience in AI programming
</li><li>Master&rsquo;s degree or higher in Data Science, Computer Science, Statistics, or a related field
</li><li>Proven experience in practical AI development and integration into business applications
</li><li>Expertise in Python and strong knowledge of Machine Learning techniques
</li><li>Working knowledge of Git and Docker
</li><li>Familiarity with DevOps concepts and processes
</li><li>Strong verbal and written communication skills in English
</li><li>Knowledge of Deep Learning and transformer architectures (preferred)
</li><li>Experience in systematic evaluation and testing of AI solutions
</li><li>Passion for learning new technologies and staying updated on industry trends
</li><li>Ability to work effectively in cross-functional teams
</li><li>Result-oriented mindset with strong problem-solving skills
</li><li>Curiosity and eagerness to understand customer needs
</li></ul><div></div><div><div><i>Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.</i></div></div></div></div></div><div></div>
<br><div><div><b>About Maritime<br>
</b></div><div></div><br>
We help enhance the safety, efficiency, and sustainability of our customers in the global shipping industry, covering all vessel types and mobile offshore units. As a partner to industry, we offer services in testing, certification, training, and technical advisory through the energy value chain. That means we&rsquo;re continually investing heavily into R&amp;D for new services and solutions while proactively assessing what the industry needs today and tomorrow.</div>

Data Scientist

InMobi

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><div><b>
Machine Learning Engineer</b></div>
<div><b>
Location:</b> [Bengaluru]<br>
<b>Team:</b> Machine Learning Engineer<br>
<b>Experience Level:</b> Mid (3&ndash;5+ years)</div><br>
<div></div>
<div><b>
About the Role</b></div>
<div>
As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem-solving, rapid experimentation, and owning end-to-end machine learning workflows.</div>
<div>
You will work closely with data scientists and cross-functional teams to build robust data pipelines, scalable platforms, and production-ready ML services.</div><br>
<div></div>
<div><b>
Key Responsibilities</b></div>
<ul>
<div><b>Model Development &amp; Deployment</b></div>
</ul><ul><div>Design, train, and deploy machine learning models with a strong focus on fast, reliable experimentation.</div>
</ul><ul><div>Build APIs and microservices to serve ML models at scale.</div>
</ul><ul><div>Feature development &amp; Engineering</div>
</ul><ul><div>Design &amp; deliver asks on backend features &amp; efficiently deliver features.</div>
</ul><ul><div>Work closely with the analytics, architects &amp; PM to deliver features asks as per ETA.</div>
</ul><ul><div>Identify solutions that can help us improve scalability, minimize bugs and reduce cost</div>
</ul><ul><div>Understanding of when to escalate questions/issues that arise during development</div>
</ul><ul><div>Able to efficiently diagnose bugs and issues</div>
</ul><ul><div>Familiar with various design and architectural patterns</div>
</ul><ul><div><b>Pipeline &amp; Infrastructure</b></div>
</ul><ul><div>Develop and maintain data ingestion, preprocessing, and model training pipelines.</div>
</ul><ul><div>Deploy scalable data and model solutions that improve efficiency across ML workflows.</div>
</ul><ul><div><b>Collaboration &amp; Integration</b></div>
</ul><ul><div>Work closely with</div>
</ul><ul><div>Define and execute end-to-end ML solutions from ideation to production.</div>
</ul><ul><div><b>Monitoring &amp; Research</b></div>
</ul><ul><div>Monitor model performance in production, using statistical methods to ensure robustness.</div>
</ul><ul><div><b>Ownership &amp; Delivery</b></div>
</ul><ul><div>Lead or contribute to POCs and full-scale ML feature rollouts.</div>
</ul><ul><div>Manage project deadlines and deliverables in an agile environment.</div></ul><br>
<div></div>
<div><b>
Basic Qualifications</b></div>
<ul>
<div>Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related field.</div>
</ul><ul><div>Proven experience in developing and deploying ML models in production.</div>
</ul><ul><div>Strong proficiency in <b>Python</b> and ML libraries like <b>TensorFlow</b>, <b>PyTorch</b>, or <b>scikit-learn, spark, java &amp; distributed systems.</b></div>
</ul><ul><div>Understanding of statistical methods and hypothesis testing.</div>
</ul><ul><div>Comfortable working with structured and unstructured data.</div>
</ul><ul><div>Experience working in collaborative, cross-functional teams.</div>
</ul><ul><div>Loves to code and learn new concepts, technologies and frameworks</div></ul><br>
<div></div>
<div><b>
Preferred Qualifications</b></div>
<ul>
<div>Demonstrated ability to rapidly validate hypotheses through experimentation.</div>
</ul><ul><div>Experience in building <b>recommendation systems</b> or similar ML applications.</div>
</ul><ul><div>Exposure to <b>advertising</b>, <b>ranking</b>, or <b>personalization</b> systems is a <b>significant plus</b>.</div>
</ul><ul><div>Familiarity with <b>SQL</b>, data warehousing, and distributed data systems.</div>
</ul><ul><div>Prior research experience or involvement in a data science-focused role.</div>
</ul><ul><div>Strong mathematical foundation, particularly in statistics and linear algebra.</div>
</ul><ul><div>Excellent verbal and written communication skills.</div>
</ul><ul><div>Hands on experience in Databricks is a plus.</div>
</ul><ul><div>Experience in the ad tech industry a plus</div></ul><br>
<div></div>
<div><b>
Why Join Us?</b></div>
<ul>
<div>Contribute to a fast-paced and innovative product impacting millions of users.</div>
</ul><ul><div>Work alongside world-class AI/ML talent in a collaborative environment.</div>
</ul><ul><div>Opportunity to shape new product lines powered by machine learning and AI.</div>
</ul><ul><div>Grow with a team that values creativity, ownership, and continuous learning.</div>
</ul>
<div><b>What do we expect from you?</b></div>
<ul>
<div>Experience: 2-5 years development experience.</div>
<div>Education: B.E. / B.Tech in Computer Science or equivalent</div>
<div>Strong development, coding experience in one or more programming languages like OO Programming (Java), Scala, Spark, Python. Expertise in Data Structures, Algorithms, Concurrency.</div>
<div>Experience of working on Big Data technologies and applications</div>
<div>Experience in Micro-services Architecture, multi-threading, performance-oriented programming and designing skills</div>
<div>Good organization, communication and interpersonal skills</div>
<div>Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace</div>
<div>Must be a self-starter who can work well with minimal guidance and in fluid environment</div>
<div>Provide good attention to details</div>
<div>Must be excited by challenges surrounding the development of highly scalable &amp; distributed system for building audience targeting capabilities</div>
<div>Agility and ability to adapt quickly to changing requirements and scope and priorities.</div>
</ul>
<div><b>Nice to have skills</b></div>
<ul>
<div>Experience of online advertising domain</div>
<div>Experience of working on massively large scale data systems in production environments</div>
<div>Experience in leveraging user data for behavioral targeting and ad-relevance</div>
<div>Experience of Big Data analytics domain</div>
<div>Experience of building products that are powered by data and insights</div>
<div>Experience on hosting and deploying application on public cloud like Msft Azure, GCP, AWS.</div></ul></div><div></div><div><div><b><br>
The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Machine Learning Engineer II - Backend

Divanex technologies pvt. ltd.

<p>Job Title: AI Developer (Fresher)</p><p><b>Location:</b> On-site<br/><b>Experience:</b> Fresher (0&ndash;1 year)<br/><b>Employment Type:</b> Full-time</p><p>Job Overview</p><p>We are seeking a passionate AI Developer (Fresh Graduate<b>)</b> who is eager to build intelligent systems and work on real-world AI/ML use cases. This role is ideal for recent graduates seeking hands-on experience in machine learning, data analysis, and AI-powered applications.</p><p>Key Responsibilities</p><ul><li>Assist in developing and training machine learning models</li><li>Work with structured and unstructured datasets</li><li>Implement basic ML algorithms (classification, regression, clustering)</li><li>Support AI features in web or mobile applications</li><li>Perform data preprocessing, cleaning, and visualization</li><li>Collaborate with senior developers and data scientists</li><li>Test, optimize, and document AI models</li></ul><p>Required Skills</p><ul><li>Basic knowledge of <b>Python</b></li><li>Understanding of <b>Machine Learning fundamentals</b></li><li>Familiarity with libraries like <b>NumPy, Pandas, Scikit-learn</b></li><li>Basic understanding of <b>statistics and linear algebra</b></li><li>Knowledge of <b>SQL</b> or data handling concepts</li><li>Strong problem-solving and learning mindset</li></ul><p>Good to Have (Optional)</p><ul><li>Exposure to <b>TensorFlow / PyTorch</b></li><li>Knowledge of <b>Deep Learning or NLP basics</b></li><li>Experience with <b>Jupyter Notebook</b></li><li>Basic understanding of APIs and Git</li><li>Mini-projects or academic AI projects</li></ul><p>Eligibility</p><ul><li>B.Tech / B.E / BCA / MCA / MSc (CS/AI/DS) or equivalent</li><li>Fresh graduates or final-year students</li><li>AI/ML certification is a plus</li></ul><p>What You&rsquo;ll Get</p><ul><li>Hands-on AI project experience</li><li>Mentorship from senior AI engineers</li><li>Learning-focused environment</li><li>Career growth in AI &amp; Data Science</li><li>Opportunity for full-time conversion</li></ul><p>Job Types: Full-time, Fresher</p>

AI Developer

Search 10000+ Machine learning developer jobs near you this January. New roles added regularly across leading industries. Apply today.