{"id":1285675,"url":"https://alion.io/job/antino-aiml-engineer","title":"AI/ML Engineer","company":{"id":9454,"name":"Antino","domain":"antino.com","url":"https://alion.io/company/antino","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-13T04:39:04Z","employer_posted_date":null,"last_verified_at":"2026-08-13T04:39:04Z","board_verified":false,"closed_at":null,"days_open":49,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":49},"description":"Role Overview : \n\nAs an AI/ML Engineer at Antino Labs, you will be at the forefront of designing and deploying intelligent systems that drive business value for our diverse clientele. You will work closely with cross-functional teams, including product managers, data scientists, and software architects, to translate complex business requirements into robust machine learning models. \n\nYour day-to-day will involve the entire lifecycle of AI development - from data preprocessing and model experimentation to production-grade deployment. By integrating advanced AI and Generative AI solutions into our existing platforms, you will directly influence user experience and operational efficiency for our partners.\n\nKey Responsibilities : \n\n- Architect and deploy scalable machine learning models that solve specific client business problems, ensuring high performance and reliability in production environments.\n\n- Develop and fine-tune Generative AI models to automate content generation, data synthesis, and conversational interfaces for enterprise applications.\n\n- Collaborate with engineering teams to integrate AI-driven features into web and mobile platforms, ensuring seamless data flow and low-latency inference.\n\n- Optimize data pipelines using Python and Pandas to ensure high-quality data ingestion, cleaning, and feature engineering for model training.\n\n- Conduct rigorous experiments using Deep Learning frameworks to improve model accuracy and maintain a competitive edge in AI-driven product offerings.\n\n- Monitor and maintain deployed models, implementing feedback loops to continuously improve system performance and user outcomes.\n\n- Communicate technical insights and model performance metrics to non-technical stakeholders to align AI initiatives with business goals.\n\nRequired Skillset : \n\n- Demonstrated expertise in building and deploying machine learning models using Python, with a strong grasp of libraries such as Pandas, NumPy, and Scikit-learn.\n\n- Hands-on experience with Deep Learning frameworks like TensorFlow or PyTorch to develop complex neural network architectures.\n\n- Proven ability to implement Natural Language Processing (NLP) techniques and Generative AI models to solve real-world text and data challenges.\n\n- Strong analytical mindset with the ability to translate ambiguous business problems into structured technical solutions.\n\n- Excellent interpersonal skills, with the ability to articulate complex AI concepts to team members and clients effectively.\n\n- A degree in Computer Science, Data Science, or a related quantitative field, combined with 2 - 5 years of professional experience in an AI/ML engineering capacity.\n\n- Ability to thrive in a fast-paced, hybrid work environment in Delhi NCR, maintaining high standards of code quality and collaborative documentation.\nSkills\nMachine Learning, Python, Deep Learning, Artificial Intelligence, NLP, Generative AI, Tensorflow, PyTorch, Pandas, Numpy","description_format":"text","description_chars":2945,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.383,"p_room":0.28,"age_days":48,"expected_fill_days":15,"reasons":["seen:48","velocity","win:tail","crowd:junior"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/antino-aiml-engineer","json_url":"https://alion.io/job/antino-aiml-engineer.json","meta":{"generated_at":"2026-10-01T05:11:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4881,"day_limit":5000,"remaining_today":119,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}