{"id":1230761,"url":"https://alion.io/job/tftus-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":2347920,"name":"Tftus","domain":"tftus.com","url":"https://alion.io/company/tftus","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":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-17T10:58:17Z","employer_posted_date":null,"last_verified_at":"2026-09-17T10:58:17Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Role Overview :\n\nAs a Machine Learning Engineer, you will be responsible for designing, deploying, and maintaining production-grade models that drive our core product features. You will work closely with cross-functional teams, including data scientists, backend engineers, and product managers, to translate business requirements into robust technical architectures. \n\nYour work will directly impact how our clients process large-scale data, ensuring that our machine learning pipelines are efficient, scalable, and capable of delivering real-time insights that improve business outcomes.\n\nKey Responsibilities :\n\n- Architect and implement end-to-end machine learning pipelines to automate data processing and model training for enterprise clients.\n\n- Develop and optimize deep learning models and computer vision algorithms to enhance the accuracy and performance of our core diagnostic platforms.\n\n- Integrate Large Language Models into existing workflows to improve natural language understanding and automated response capabilities for end-users.\n\n- Collaborate with engineering teams to deploy models into production environments, ensuring high availability and low-latency performance.\n\n- Monitor model performance in production, implementing feedback loops to refine algorithms and maintain high standards of predictive accuracy.\n\n- Document technical processes and model architectures to facilitate knowledge sharing and maintain code quality across the engineering department.\n\nRequired Skillset :\n\n- 4 to 9 years of hands-on experience in building and scaling machine learning systems.\n\n- Demonstrated expertise in Python for developing complex machine learning applications and data processing scripts.\n\n- Proven ability to design and implement deep learning architectures and computer vision solutions using frameworks like PyTorch or TensorFlow.\n\n- Strong understanding of LLM integration, including fine-tuning techniques and prompt engineering for enterprise-scale applications.\n\n- Ability to communicate complex technical concepts to non-technical stakeholders, ensuring alignment on project goals and deliverables.\n\n- Experience working in a remote-first environment, demonstrating self-discipline and the ability to collaborate effectively across distributed teams.\n\nSkills\nMachine Learning, Python, Deep Learning, Computer Vision, PyTorch, Tensorflow, Prompt Engineering, LLM, Algorithm","description_format":"text","description_chars":2406,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":67,"band":"ok","label":"Likely open","p_open":1,"p_active":0.706,"p_room":0.945,"age_days":8,"expected_fill_days":24,"reasons":["seen:8","win:mid"],"computed_at":"2026-09-26T04:00:59Z"},"pay":null,"html_url":"https://alion.io/job/tftus-machine-learning-engineer","json_url":"https://alion.io/job/tftus-machine-learning-engineer.json","meta":{"generated_at":"2026-09-26T04:00:59Z","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":4345,"day_limit":5000,"remaining_today":655,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}